Penalized regression calibration: A method for the prediction of survival outcomes using complex longitudinal and high‐dimensional data

Longitudinal and high‐dimensional measurements have become increasingly common in biomedical research. However, methods to predict survival outcomes using covariates that are both longitudinal and high‐dimensional are currently missing. In this article, we propose penalized regression calibration (P...

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Detalles Bibliográficos
Autores principales: Signorelli, Mirko, Spitali, Pietro, Szigyarto, Cristina Al‐Khalili, Tsonaka, Roula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293191/
https://www.ncbi.nlm.nih.gov/pubmed/34464990
http://dx.doi.org/10.1002/sim.9178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293191/
https://www.ncbi.nlm.nih.gov/pubmed/34464990
http://dx.doi.org/10.1002/sim.9178

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